Services

In two of my previous posts I discussed people and platform. In this post I’m going to share six steps to help your organization get started with platform as a service (PaaS). As with any new solution, it’s important to map out the implementation strategy. Whether your using Infrastructure as a Service (IaaS), PaaS, or serverless, an enterprise architect along with your cloud center of excellence provides “recommended practices.” Agree or disagree, a decoupled component design provides flexibility with scale, maintainability, support and empowers faster change while remaining stable.

At this point you might be thinking, “Is it that easy?” Not really. Like any project, planning is required. The plan should be iterative with 2-3 outcomes and with 2-6 team members. First, identify yourself: are you application development or the IT operations infrastructure persona? For example, consider this blog post that describes Microservices: Change is here today and is impacting our processes. Traditionally, these two personas do not know each other, but they should not be afraid of each other. Get to know them, and working together might look something like this:

Cloud governance is a framework that guides how end users make use of cloud services by defining and creating policies to control costs, minimize security risks, improve efficiency and accelerate deployment. It’s imperative to have good cloud governance because it’s a foundational element to your cloud practice that provides the ability to scale and be successful.

Migrating to the cloud is an exciting journey as it provides greater flexibility to the IT teams for creating resources and provisioning them. Gone are the days when it used to take weeks and months to request resources and additional provisioning from the infrastructure teams. Cloud vendors now provide the capabilities to create resources such as compute instances plus add-on software, databases, firewall groups, storage, etc. via APIs.

The cloud-provided capabilities are very powerful and can potentially bring many inconsistencies and resource ownership issues into the environment.

Many organizations are shifting their contact centers to the cloud, often as a way to take advantage of the superior security, reliability, flexibility, location independence and real-time updates offered by Contact Center as a Service (CCaaS) solutions.

However, as often happens with new technology rollouts, too many companies are skimping on training programs for their employees and managers that can aid in the effective use of the new systems. This oversight is highly likely to create difficulties down the road.

Effective training programs are important not only to smooth the rollout of a CCaaS solution, but also to ensure that companies are positioned to unlock all of the value from their new tools. Without effective training, a cloud contact center can create confusion among agents and managers and leave company leaders in the dark about some of their most important customer data.

As part of CDW’s cybersecurity team, I often have the opportunity to visit with our customers and help them identify gaps in their security programs. CDW offers a variety of security assessments that help organizations shore up their cybersecurity weaknesses.

I’ve performed dozens of these assessments, which provides me with a unique vantage point on the state of cybersecurity across different industries and organizations of various sizes. With that perspective, I’ve seen four common threats that continue to pose significant risk to cybersecurity programs.

Use cases for the Internet of Things have diversified quickly, but most applications are designed to achieve one (or more) of the following objectives: obtaining data for data-driven business decisions; having the capability to remotely control and monitor assets, such as digital signage or city lighting; and automating operations, such as a manufacturing production line.

Traditionally, the network infrastructure that supports business is focused on indoor switches, routers and access points. With the IoT revolution, often that’s the initial plumbing required to connect sensors, physical machines and wireless devices to the network. In recent years, companies have begun to expand the enterprise infrastructure and reach outside of the four walls of the business, leveraging IoT technology to work in new spaces that were previously unconnected — for example, with switches and routers hardened for outdoor environments connecting mobile devices back to business applications. Whether it’s controlling, monitoring or automation that’s needed, we’re no longer limited by building boundaries.

Advancing IoT yet again brings up three major challenges, and that’s where we’ll see a new wave of technological evolution.

Almost every customer that we talk to wants a disaster recovery (DR) strategy. Many organizations will push their backup and recovery solutions to the brink but never really achieve the ability to run applications in production in the event of a disaster. This is likely because of cost and complexity.

Traditional colocation facilities or secondary data center locations in an active-active setup tend to have high costs by way of traditional data center expenses. Why build two data centers when you only need one?

Using traditional independent software vendor (ISV) solutions coupled with a handful of native cloud tools can keep costs low. But this arrangement requires cloud skillsets that most customers do not have in-house. For many customers, this means their Recovery Time Objective (RTO) is at risk.